Suz will give a basic overview of what machine learning is, what it's used for, and how you can use NodeJS to train your own models to be only an API call away.
CONTENTS
0:05 - Into
0:33- About Suz
1:17 - What is machine learning?
3:50 - What are common uses for machine learning?
3:57 - Prediction, classification, clustering, anomaly detection
4:34 - How does machine learning work?
4:59 - Let’s look at neural networks
5;14 - Perceptron
7-16 - Neural network
7:57 - Convolutional neural net?
8:04 - Let’s start with an example
11:13 - “Make your own neural network” by Tariq Rashid
11:34 - Brain.js
12:08 - Can i just have API
13:25 - Computer Vision Service, Custom Vision Service, Custom Speech Service
13:54 - Am I stuck with the default models?
14:15 - “Who is it?” demo
15:40 - React, Redux, Redux Saga, Express
16:17 - Pro-tip: choose the right model
16:30 - Custom Vision Service Model
17:12 - Train a face model for faces
17:23 - What about speech?
19:29 - Can we use machine learning?
19:45 - Maybe, but we need lots of training data!
19:59 - How can we produce it?
21:57 - Translator API + Custom Speech Service
22:49 - I wrote some NodeJS stuff for you to use
23:34 - On more serious note
24:19 - Want to learn more?
24:56 - Questions
RESOURCES
YouTube channel
/ suziam
Twitch channel
/ noopkat
YouTube
Acoustic Model Machine
https://github.com/noopkat/acoustic-m...
Microsoft Translator Speech Service
https://github.com/noopkat/ms-transla...
Rachel Thomas
/ @math-rachel
Gene Kogan
https://ml4a.github.io
Daniel Shiffman
/ shiffman
Microsoft Cognitive Services
https://azure.microsoft.com/en-us/ser...
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